Michał Bryliński

3.7k citations
99 papers · 2.7k indexed · h-index 29
Topics
Protein Structure and Dynamics (64 papers)Computational Drug Discovery Methods (48 papers)Enzyme Structure and Function (23 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Michał Bryliński

97 papers receiving 2.6k citations

Peers

Michał Bryliński
Comparison fields: 5 of 130
  • Molecular Biology 2.1k
  • Computational Theory and Mathematics 1.2k
  • Materials Chemistry 617
  • Pharmacology 217
  • Organic Chemistry 176
Replace Fuqiang Ban with:
Fuqiang Ban Canada
Andrea Volkamer Germany
Claudio N. Cavasotto United States
Yan A. Ivanenkov Russia
Sameer Velankar United Kingdom
Trent E. Balius United States
José Jiménez-Luna Spain
Matthew J. O’Meara United States
Herman van Vlijmen Belgium
H. C. Stephen Chan China
Michał Bryliński relative to Fuqiang Ban Canada Fuqiang Ban's profile →
Citations per field
00.5×1.5×1.9×
Fuqiang Ban · 1×
Citations per year

Countries citing papers authored by Michał Bryliński

Since Specialization
Citations

This map shows the geographic impact of Michał Bryliński's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michał Bryliński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Bryliński more than expected).

Fields of papers citing papers by Michał Bryliński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Bryliński. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michał Bryliński. The network helps show where Michał Bryliński may publish in the future.

Co-authorship network of co-authors of Michał Bryliński

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Bryliński. A scholar is included among the top collaborators of Michał Bryliński based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał Bryliński. Michał Bryliński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 20
5 7
6 6
7 17
8 30
9 86
10 6
11 9
12 21
13 5
14 19
15 61
16 62
17 28
18 21
19 35
20 10

About Michał Bryliński

Michał Bryliński is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 99 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (64 papers), Computational Drug Discovery Methods (48 papers) and Enzyme Structure and Function (23 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (2.1k citations) and Health Informatics (20 citations). Michał Bryliński has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Jeffrey Skolnick, Wei P. Feinstein, Irena Roterman, Leszek Konieczny, Misagh Naderi, Limeng Pu, Rajiv Gandhi Govindaraj, Hsiao‐Chun Wu, Supratik Mukhopadhyay and J. Ramanujam. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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